Online social networks and digital media services such as Facebook, Twitter, Flickr, YouTube, and Spotify, are changing the way we interact, receive our news, and share and discover digital media. This module introduces the theoretical concepts around the measurement and analysis of social and digital media networks, and reviews practical applications based on real-world datasets. The module brings together a number of network analysis studies and conveys knowledge on community detection, cascades and behaviour influence, epidemic spreading and content recommendation. Applications of networks to music and games are also discussed. This module will help students develop a deep understanding of social and digital media networks and acquire data-informed analytical skills to infer knowledge from network datasets.
The labs will enable students to review theoretical content through tutorials, learn how to use software tools for networks analysis (Gephi and Python), and engage in interactive activities. The students will develop research skills as well as communication and team work skills through a group project during which network analyses conducted on real-world datasets will have to be presented orally and through a written report.
The labs will enable students to review theoretical content through tutorials, learn how to use software tools for networks analysis (Gephi and Python), and engage in interactive activities. The students will develop research skills as well as communication and team work skills through a group project during which network analyses conducted on real-world datasets will have to be presented orally and through a written report.
